LENOVO 21FV002EUS
Geekbench AI Score
2639
Single Precision Score
997
Half Precision Score
4442
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 19 2025 07:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | LENOVO 21FV002EUS |
| Motherboard | LENOVO 21FV002EUS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.3 IPS |
|
|
Image Classification (Q)
|
99% |
3863
720.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1101
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
585
9.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
2118
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4377
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2868
3.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
15465
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2003
158.9 IPS |
|
|
Object Detection (HP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
86% |
3875
311.4 IPS |
|
|
Face Detection (SP)
|
100% |
5407
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
1077
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
6394
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5910
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1470
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9801
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10719
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7006
9.01 IPS |
|
|
Style Transfer (Q)
|
98% |
18052
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1856
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1312
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2687
99.5 IPS |
|
|
Text Classification (SP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
498
664.2 IPS |
|
|
Text Classification (Q)
|
97% |
1015
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
65% |
1980
39.8 IPS |
